Xuan Li
Research Scientist at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolXuan Li is a research scientist at NVIDIA with a decade of experience at the intersection of physics-based simulation, differentiable physics, and 3D vision, and a publication record spanning SIGGRAPH, ICLR, NeurIPS, CVPR, and ICRA. With a PhD in Applied Mathematics from UCLA and prior degrees from Stony Brook and Tsinghua, Xuan blends rigorous theory with practical sim2real/real2sim applications and robotics. Their work spans NeRF/3D generative models, geometry processing, and physics simulation, reflecting both foundational contributions and applied research that bridges lab prototypes and GPU-accelerated systems. A former GenAI and deep learning research intern at NVIDIA, Adobe, and IBM, Xuan brings experience in translating research into production-relevant code on NVIDIA platforms. Notably, their diverse publication portfolio suggests a knack for unifying ideas across graphics, ML, and control to tackle real-world perception and simulation gaps.
10 years of coding experience
Bachelor of Science - BS Mathematical Sciences, Bachelor of Science - BS Mathematical Sciences at Tsinghua UniversityUniversity of California, Los AngelesMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Stony Brook University
Chinese, English
Github Skills (13)
computer-graphics10
gpu-programming9
differentiable-programming8
simulation8
portable8
gpu8
high-performance8
parallel-computing8
python7
cuda7
javascript6
animation3
geometry2
Programming languages (4)
Github contributions (5)
xuan-li/xuan-li.github.io
Oct 2017 - Feb 2024
Contributions:197 pushes, 1 branch in 6 years 5 months
one-atom/Data
Mar 2017 - Jun 2017
Contributions:1775 pushes, 1 branch in 3 months
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